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Youfei Zheng

Researcher at Nanjing University of Information Science and Technology

Publications -  10
Citations -  576

Youfei Zheng is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Data assimilation & Water content. The author has an hindex of 8, co-authored 10 publications receiving 498 citations.

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Heat wave impacts on mortality in Shanghai, 1998 and 2003

TL;DR: Improvements in living conditions in Shanghai, such as increased use of air conditioning, larger living areas, and increased urban green space, along with higher levels of heat awareness and the implementation of a heat warning system, were responsible for the lower levels of human mortality in 2003 compared to 1998.
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An analysis of influential factors on outdoor thermal comfort in summer

TL;DR: It was found that males and females have similar perceptions of maximum temperature; in the most comfortable environment, mood appears to have a significant influence on thermal comfort, but the influence of mood diminishes as the meteorological environment becomes increasingly uncomfortable.
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Improving Noah land surface model performance using near real time surface albedo and green vegetation fraction

TL;DR: In this article, the impact of NRT GVF and albedo on the Noah land surface model (version 3.2) performances are examined against in situ measurements of surface net long wave radiation and net short wave radiation from 7 U.S. Surface Radiation Budget Network stations, and soil temperature and soil moisture from 9 USDA Soil Climate Analysis Network sites.
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Optimal ensemble size of ensemble Kalman filter in sequential soil moisture data assimilation

TL;DR: In this article, the maximum efficiency of the EnKF for assimilating observations into the models could be reached when the ensemble size is set to 12, and the simulations are perfectly consistent with the mathematical derivation.
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Impact of quality control of satellite soil moisture data on their assimilation into land surface model

TL;DR: In this paper, a global Soil Moisture Operational Product System (SMOPS) has been developed to process satellite soil moisture observational data at the NOAA National Environmental Satellite, Data, and Information Service for improving numerical weather prediction (NWP) models at the National Weather Service (NWS).